Sr. Bioinformatics ML​/AI Engineer

Job Summary
:
Baylor Genetics is a company focused on genetic testing and bioinformatics solutions. They are seeking a seasoned machine learning and AI application engineer with expertise in bioinformatics and genomic data modeling to develop state-of-the-art ML/AI solutions for their next-generation bioinformatics platform.

Responsibilities
:

• Serves as the SME in Bioinformatics ML/AI application development in a clinical genetic testing setting. Provides hands-on support towards building the company’s next-generation bioinformatics ML/AI platform

• Designs, develops, evaluates, and deploys state-of-the-art ML/AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets

• Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to enhance the overall performance of the genetic testing workflow

• Supports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to keep up with the increasing demands of the business

• Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals

Qualifications
:
Required
:

• Master's or higher degree in Computer Engineering, Data Science, Bioinformatics, Machine Learning, and Data modeling, or related field with five (5) years of experience in genomic data analysis and application development.

• Hands-on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generation

• Hands-on experience in human genetics/multi-omics data modeling and application development, especially in next-generation sequencing data

• Hands-on experience in machine learning framework (such as Huggingface, Tensor Flow)

• Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment.

• Hands-on experience in RAG AI framework

• Hands-on experience with scripting languages, such as Bash and Python

• Strong experience in cloud platform (Azure) and data services (data lakehouse/data warehouse)

• Experience in context-aware OCR

• Experience in databases, including SQL and No

SQL

• Familiarity with advanced data visualization techniques

• Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment

Preferred
:

• Dev Ops experience such as unit testing, CI/CD is a plus.

Company
:
Baylor Genetics offers a full spectrum of cost-effective, genetic testing, and provides clinically relevant solutions. Founded in 1978, the company is headquartered in Houston, USA, with a team of 501-1000 employees. The company is currently Late Stage.